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Graph Neural Networks

1127 directly classified papers

Papers per year

Papers

Learning on graphs using Orthonormal Representation is Statistically Consistent NIPS 2014
Sparse Polynomial Learning and Graph Sketching NIPS 2014
Unsupervised Deep Haar Scattering on Graphs NIPS 2014
Spectral Bandits for Smooth Graph Functions ICML 2014
The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited NIPS 2013
Consensus of k-NNs for Robust Neighborhood Selection on Graph-Based Manifolds CVPR 2013
A Tensor Spectral Approach to Learning Mixed Membership Community Models COLT 2013
Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching NIPS 2013
Analyzing the Harmonic Structure in Graph-Based Learning NIPS 2013
Learning Graphs to Match ICCV 2013
Wavelets on Graphs via Deep Learning NIPS 2013
Fusion with Diffusion for Robust Visual Tracking NIPS 2012
Learning Networks of Heterogeneous Influence NIPS 2012
A Correlation Clustering Approach to Link Classification in Signed Networks COLT 2012
A Linear Time Active Learning Algorithm for Link Classification NIPS 2012
On Triangular versus Edge Representations --- Towards Scalable Modeling of Networks NIPS 2012
Topic-Partitioned Multinetwork Embeddings NIPS 2012
Directed Graph Embedding: an Algorithm based on Continuous Limits of Laplacian-type Operators NIPS 2011
See the Tree Through the Lines: The Shazoo Algorithm NIPS 2011
Subgraph Detection Using Eigenvector L1 Norms NIPS 2010
Link Discovery using Graph Feature Tracking NIPS 2010
Getting lost in space: Large sample analysis of the resistance distance NIPS 2010
Graph-based Consensus Maximization among Multiple Supervised and Unsupervised Models NIPS 2009
Label Selection on Graphs NIPS 2009
Supervised Bipartite Graph Inference NIPS 2008